




import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


SCREAMING_SNAKE_CASE:     Union[str, Any]									= {
    """facebook/maskformer-swin-base-ade""": (
        """https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"""
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

SCREAMING_SNAKE_CASE:     List[Any]									= logging.get_logger(__name__)



class    lowercase_		(_UpperCAmelCase ):
						lowerCAmelCase__			      ='''maskformer'''
						lowerCAmelCase__			      ={'''hidden_size''': '''mask_feature_size'''}
						lowerCAmelCase__			      =['''resnet''', '''swin''']
						lowerCAmelCase__			      =['''detr''']



						def __init__(			self	:   List[Any]					,							snake_case__	:   List[str] = 2_56					,							snake_case__	:   Any = 2_56					,							snake_case__	:   Optional[int] = 0.1					,							snake_case__	:   Optional[Any] = False					,							snake_case__	:   Optional[int] = None					,							snake_case__	:   Optional[Any] = None					,							snake_case__	:   Optional[Any] = 0.02					,							snake_case__	:   int = 1.0					,							snake_case__	:   str = 1.0					,							snake_case__	:   Tuple = 1.0					,							snake_case__	:   str = 20.0					,							snake_case__	:   Optional[int] = None					,							**snake_case__	:   List[Any]					,							):

								"""simple docstring"""

								if backbone_config is None:
										# fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
										SCREAMING_SNAKE_CASE_					      =							SwinConfig(
										    image_size=3_84					,							in_channels=3					,							patch_size=4					,							embed_dim=1_28					,							depths=[2, 2, 18, 2]					,							num_heads=[4, 8, 16, 32]					,							window_size=12					,							drop_path_rate=0.3					,							out_features=['stage1', 'stage2', 'stage3', 'stage4']					,							)

								if isinstance(lowerCAmelCase__					,							lowerCAmelCase__  ):
										SCREAMING_SNAKE_CASE_					      =							backbone_config.pop('model_type'  )
										SCREAMING_SNAKE_CASE_					      =							CONFIG_MAPPING[backbone_model_type]
										SCREAMING_SNAKE_CASE_					      =							config_class.from_dict(lowerCAmelCase__  )

								# verify that the backbone is supported
								if backbone_config.model_type not in self.backbones_supported:
										logger.warning_once(
										    f'''Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. '''
										    f'''Supported model types: {",".join(self.backbones_supported  )}'''  )

								if decoder_config is None:
										# fall back to https://huggingface.co/facebook/detr-resnet-50
										SCREAMING_SNAKE_CASE_					      =							DetrConfig()
								else:
										# verify that the decoder is supported
										SCREAMING_SNAKE_CASE_					      =							(
										    decoder_config.pop('model_type'  ) if isinstance(lowerCAmelCase__					,							lowerCAmelCase__  ) else decoder_config.model_type
										)
										if decoder_type not in self.decoders_supported:
												raise ValueError(
												    f'''Transformer Decoder {decoder_type} not supported, please use one of'''
												    f''' {",".join(self.decoders_supported  )}'''  )
										if isinstance(lowerCAmelCase__					,							lowerCAmelCase__  ):
												SCREAMING_SNAKE_CASE_					      =							CONFIG_MAPPING[decoder_type]
												SCREAMING_SNAKE_CASE_					      =							config_class.from_dict(lowerCAmelCase__  )

								SCREAMING_SNAKE_CASE_					      =							backbone_config
								SCREAMING_SNAKE_CASE_					      =							decoder_config
								# main feature dimension for the model
								SCREAMING_SNAKE_CASE_					      =							fpn_feature_size
								SCREAMING_SNAKE_CASE_					      =							mask_feature_size
								# initializer
								SCREAMING_SNAKE_CASE_					      =							init_std
								SCREAMING_SNAKE_CASE_					      =							init_xavier_std
								# Hungarian matcher && loss
								SCREAMING_SNAKE_CASE_					      =							cross_entropy_weight
								SCREAMING_SNAKE_CASE_					      =							dice_weight
								SCREAMING_SNAKE_CASE_					      =							mask_weight
								SCREAMING_SNAKE_CASE_					      =							use_auxiliary_loss
								SCREAMING_SNAKE_CASE_					      =							no_object_weight
								SCREAMING_SNAKE_CASE_					      =							output_auxiliary_logits

								SCREAMING_SNAKE_CASE_					      =							self.decoder_config.encoder_attention_heads
								SCREAMING_SNAKE_CASE_					      =							self.decoder_config.num_hidden_layers
								super().__init__(**lowerCAmelCase__  )



						@classmethod
						def 	__a					(			cls	:   Any					,							snake_case__	:   str					,							snake_case__	:   int					,							**snake_case__	:   Optional[int]  ):

								"""simple docstring"""

								return cls(
								    backbone_config=lowerCAmelCase__					,							decoder_config=lowerCAmelCase__					,							**lowerCAmelCase__					,							)






						def 	__a					(			self	:   Tuple  ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_					      =							copy.deepcopy(self.__dict__  )
								SCREAMING_SNAKE_CASE_					      =							self.backbone_config.to_dict()
								SCREAMING_SNAKE_CASE_					      =							self.decoder_config.to_dict()
								SCREAMING_SNAKE_CASE_					      =							self.__class__.model_type
								return output
from argparse import ArgumentParser

from .env import EnvironmentCommand





def 							UpperCAmelCase		(       ):







				"""simple docstring"""



				__lowercase					     =				ArgumentParser('''Diffusers CLI tool'''				,     usage='''diffusers-cli <command> [<args>]'''				)
				__lowercase					     =				parser.add_subparsers(help='''diffusers-cli command helpers'''				)

				# Register commands
				EnvironmentCommand.register_subcommand(lowercase				)

				# Let's go
				__lowercase					     =				parser.parse_args()

				if not hasattr(lowercase				,     '''func'''				):
								parser.print_help()
								exit(1				)

				# Run
				__lowercase					     =				args.func(lowercase				)
				service.run()


if __name__ == "__main__":
		main()